Search Results (73)

Coastal regions of Ecuador, particularly Esmeraldas and Manabí, face significant challenges related to energy access, waste management, and sustainable agricultural development. This study evaluates the renewable energy potential of cocoa waste biomass generated by smallholder farms in these provinces. A total of 20 cocoa farms, either certified or in the process of certification under the Rainforest Alliance standard, were surveyed to quantify the volume of agricultural and agro-industrial residues. Residual biomass generation ranged from 50 to 6500 tons per year, depending on farm size, planting density, and management practices. Spatial analysis revealed that Esmeraldas holds the highest concentration of cocoa waste biomass, with some farms reaching a gross energy potential of up to 89.07 TJ/year. Using thermochemical conversion scenarios, effective energy potential was estimated, and 75% of the farms exceeded the viability threshold of 100 MWh/year. The results confirm the feasibility of cocoa biomass as a renewable energy source, mainly when managed collectively at the community level. Incorporating this waste into decentralized energy systems supports circular economy models, enhances energy self-sufficiency, and aligns with sustainable supply chain goals promoted by certification schemes. This study contributes to national efforts in energy diversification and provides a replicable model for integrating renewable energy into rural agricultural systems. Full article

The cocoa production in Ghana, largely reliant on rainfall and undertaken by smallholder farmers, is increasingly endangered by climate change-induced water scarcity. Although supplemental irrigation has been posited as an adaptive measure, its hydrological impacts remain understudied. This current study seeks to bridge this knowledge gap by employing the Soil and Water Assessment Tool (SWAT) to evaluate the hydrological and water resource implications of supplemental irrigation within the Upper Offin sub-basin of Ghana. High-resolution spatial data and field survey inputs were used to model dry period baseline and irrigation scenarios for cocoa farms with gentle slopes (2%). The results reveal that supplemental irrigation from the shallow aquifer can sustainably support irrigation for up to 5% of the cocoa area (4760 ha) without adversely affecting groundwater flow. Extending irrigation to 30% of the cocoa area (28,540 ha) is feasible with minimal reduction in catchment water yield. This study’s novelty lies in integrating high-resolution data with localized management practices to provide actionable insights for balancing cocoa productivity and water sustainability. The findings offer practical recommendations for policymakers, emphasizing that through solar-powered irrigation the shallow groundwater is a pathway to enhance climate resilience of cocoa productivity. Full article

In this study, we analysed cocoa (a dried and fully fermented seed of Theobroma cacao L.) from two Amazonian cultivars and a commercial sample of the Amazonian variety EETP801, grown under sustainable organic conditions, in comparison to CCN51 cocoa grown on a neighbouring commercial farm using standard practises and a European commercial cacao powdered beverage. The overall metabolite profile of the 70% aq acetone sample cocoa extracts was analysed using high-performance TLC analyses (HPTLC), and the xanthine alkaloids were analysed using quantitative liquid chromatography–UV photodiode array (HPLC-DAD) analyses. The volatile fraction in the headspace of the freshly ground cocoa was subjected to solid phase micro-extraction and analysed by gas chromatography–mass spectrometry (HS-SPME/GC-MS). Total polyphenol content was determined by the Folin–Ciocalteu method. Despite the reduced production of cocoa by the EETP801 cultivar in comparison with the CCN51 cultivar, the obtained produce is significantly richer in theobromine (130 mg vs. 170 mg per g of cacao), with CCN51 having a double concentration of theophylline (12.6 vs. 6.5 mg per g of cacao). Qualitatively, the two Amazonian cocoa samples had a similar polyphenolic composition (per the HPTLC fingerprint). HS-SPME/GC-MS analyses revealed that all the samples show a spontaneous emission profile mainly rich in non-terpene derivatives, of which hydrocarbons and pyrazines are the most abundant groups. The most represented volatile organic compound is n-tridecane for both EETP801 and CCN51. The variability in the artisan fermentation and roasting processes influenced certain aspects of the volatile composition as reflected by the trimethyl pyrazine/tetramethyl pyrazine ratio, which was zero in EETP-801 and lower than 1 in CCN51. Acetic acid was absent in CCN51 but significant (c.a. 5.5.%) in EETP801 and the commercial samples. The cultivar EETP801 is a viable option for a more ecologically conscious sector of the cocoa beverages consumer group. Full article

Despite growing interest in improving soil health on cocoa farms, applied research on the impacts of specific amendments on soil and plant outcomes is lacking. An integrated assessment of the impacts of two different organic amendments (compost and vermicompost) and a microbial biofertilizer on soil physical, chemical, and biological properties, as well as cocoa flowering, fruit set, and yield, was conducted in Guayaquil, Ecuador. Complementary culture-dependent and culture-independent methods were used to assess the impacts of amendments on microbial diversity, community composition, and specific taxa. Compost or vermicompost application affected soil chemical properties, including potassium, phosphorus, and sodium, and had small but significant effects on fungal beta diversity. Biofertilizer application slightly lowered soil pH and altered the total abundance of specific taxonomic groups including Azotobacter sp. and Trichoderma sp., with borderline significant effects on Azospirillum sp., Lactobacillus sp., Pseudomonas sp., calcium-solubilizing bacteria, and phosphorus-solubilizing bacteria. Amplicon sequencing (16S, ITS) identified 15 prokaryotic and 68 fungal taxa whose relative abundance was influenced by organic amendments or biofertilizer. Biofertilizer application increased cherelle formation by 19% and monthly harvestable pod counts by 11% despite no impact on flowering index or annual pod totals. This study highlights the tangible potential of microbiome optimization to simultaneously improve on-farm yield and achieve soil health goals on cocoa farms. Full article

A study was conducted in Sierra Leone to identify cassava plants that are asymptomatic and symptomatic to cassava mosaic disease (CMD) and collect planting materials for field trial establishment; determine the prevalence of CMD caused by African cassava mosaic virus (ACMV) and East African cassava mosaic virus (EACMV) using the Nuru App and virus indexing techniques; and assess selected agronomic traits in cassava. A total of 80 cassava farms spanning four provinces (Southern, Eastern, Northern, and North-West) were surveyed in April 2022. Findings showed that the cassava variants of the experiment and locations significantly (p < 0.001) affected CMD incidence, severity, growth, and fresh storage root yield traits. The CMD incidence (87.0%) and whitefly abundance (144.8) were highest, and the CMD severity was moderate (4.0) for the plants derived from cuttings obtained from symptomatic Cocoa mother plants, while plants derived from cuttings of improved mother plants exhibited no visible symptoms of the disease and the lowest population (45.1) of whiteflies. The Nuru app is inefficient for phenotypically detecting CMD at 3 months after planting (MAP), while at 6, 9 and 12 MAP, the app efficiently detected the disease using a molecular analysis technique. Resistant, non-diseased plants derived from cuttings obtained from SLICASS 4 mother plants produced the highest fresh storage root yield (54.9 t ha⁻¹). The highest storage root yield loss was recorded in the plants obtained from cuttings of symptomatic variety Cocoa mother plants harvested at Matotoka grassland ecology, Bombali District (90.2%), while those harvested from cuttings of asymptomatic variety Cocoa mother plants grown at the four test environments had a similar storage root yield loss ranging from 40.3 to 46.2%. Findings suggest the importance of genetic variability, environmental adaptation, utilization of diseased-free materials, and phytosanitation as disease management strategies for increased production. These findings provide important insights into the distribution, impact, and spread of CMD and whitefly abundance in the studied areas in Sierra Leone that could be exploited for cassava production, productivity, conservation, and population improvement. Full article

Cocoa (Theobroma cacao) is one of the world’s most traded commodities. Cocoa grown in agroforestry systems is considered a climate-smart agricultural practice, in part due to the role of shade trees as carbon reservoirs and carbon sinks. In Brazil, most production is concentrated in Bahia state, where traditional cocoa agroforests—locally known as cabrucas—are well known to harbor significant above- and below-ground carbon stocks, although their ability to act as carbon sinks is less well established. By analyzing previously published data on the dynamics of tree assemblages within a 1.7 ha area on a cabruca farm, we estimated an annual carbon increment of 3.46 Mg C ha⁻¹, a value comparable to other shade cocoa plantations elsewhere but more than three times the previous estimate for a cabruca. We discuss the importance of these findings and highlight the potential role of traditional cocoa shade plantations as climate-friendly crops, thus contributing to climate mitigation. It is also essential to highlight the importance of the carbon sequestration and storage services provided by tropical agroforestry systems. Full article

The main barriers faced by small-scale cocoa producers in Ecuador are the limited access to and the use of information technologies, which affects their efficiency in production and marketing. This study evaluated the impact of information behavior on the fertilization and marketing strategies of small cocoa farmers in two Ecuadorian provinces that have presented outstanding performance at the national level in order to identify the main factors that cause information gaps. For this purpose, a structured survey was conducted between May and June 2024 on 150 cocoa producers farming up to 10 hectares to collect demographic data and analyze their information-use patterns in relation to agricultural market strategies. The survey included five dimensions: information sources, information evaluation, informational, social and economic. In addition, soil chemical analyses were conducted in 50 plantations managed by the same farmers to determine the affinity between fertilization practices and the nutritional needs of the crop. The results indicated that farmers in Guayas showed a more developed information behavior, with a greater knowledge of their information needs and an active interest in collecting data on agricultural markets. In contrast, farmers in Los Ríos made less use of the media as a source of information, which limited their impact on social and economic aspects. In soil chemistry, both provinces presented favorable conditions for the crop; however, low nitrogen and potassium concentrations could affect yields. In Guayas, the analyses revealed averages of 0.34 cmol(+)/L aluminum, 3.03 cmol(+)/L magnesium and 0.33 cmol(+)/L potassium, values that mostly meet the nutritional standards for cocoa. In Los Rios, the analyses reflected average values of 0.68 ± 0.46 cmol(+)/L aluminum, 2.98 ± 1.13 cmol(+)/L magnesium and 0.34 ± 0.11 cmol(+)/L potassium. Based on the findings of this study, in order to improve the competitiveness of the sector, it is suggested to design accessible public policies and training programs oriented to the use of digital tools and sustainable practices that promote access to markets and optimize the production chain. Full article

Cocoa farming in Ecuador faces significant challenges due to market volatility and climate-related risks, necessitating effective risk management strategies. This study investigates the interplay between risk attitudes (RAs), risk perceptions (RPs), and risk management strategies (RMSs) among Ecuadorian cocoa farmers, examining how these factors influence decision-making under uncertainty. Combining experimental lotteries to assess risk and loss aversion, with partial least squares structural equation modeling (PLS-SEM) to analyze survey data, we explore how farmers prioritize perceived impacts over probabilities in their risk assessments. The findings reveal that farmers focus more on mitigating severe perceived impacts, such as price drops and production losses due to adverse weather, than on probability-based strategies, commonly opting for diversification and nonagricultural activities. These results highlight the importance of designing policies and tools that address the perceived impacts of risks, align support with farmers’ needs, and improve access to financial resources and tailored insurances. This approach offers valuable insights for policymakers aiming to enhance cocoa farmers’ resilience in volatile agricultural environments. Full article

In the Americas’ leading cocoa-producing countries, more productive clonal cultivars than traditional biclonal hybrids have been created. In Brazil, several disease-resistant and self-compatible clones such as PS 1319, FA 13, and SJ 02 have been selected on producer farms. The CCN 51 clone from Ecuador is also significant in Brazil. This study aimed to analyze these clones concerning their genetic structures using single-nucleotide polymorphisms, productive potential, disease resistance, and the physico-chemical and organoleptic characteristics of the beans. Clone SJ 02 has ancestry from Contamana (40.7%), Iquitos (34.5%), and Amelonado (23.5%). PS 1319 is primarily Amelonado (67.9%), with Criollo (15.7%) and Contamana (15.6%). FA 13 mainly consists of Amelonado (53.5%) and Iquitos (44.1%). Local cultivars of Bahia are mostly Amelonado, with 99.8% in Comum and Parazinho, 97.4% in Maranhão, and 95.5% in Pará. PS 1319, SJ 02, and FA 13 clones were significantly more productive than CCN 51 but did not differ in disease resistance levels. Significant differences were noted among the cultivars in physicochemical traits (fat, caffeine, and theobromine content). Sensorially, SJ 02 outperformed the other cultivars and was comparable to the reference clone BN 34. The findings indicate that Brazil’s elite clones, derived from complex crosses involving Amelonado, Contamana, Iquitos, and Criollo groups, are productive, resistant, and exhibit favorable physico-chemical and organoleptic qualities, making them valuable for future clonal breeding programs. Full article

Cocoa (Theobroma cacao L.) relies on insect pollination for fruit production, making it essential to understand the pollinators involved. This study aimed to identify the insects associated with cocoa pollination and their relationship with effective natural pollination in a cocoa agroforestry system in Yopal, Colombia. Indirect (wood traps) and direct (manual aspiration in flowers) methods were used to capture pollinators. The number of captured insects was correlated with the percentage of pollinated, fertilized, aborted, and transitioning flowers using Pearson’s correlation coefficient. Additionally, the natural transfer of pollen was assessed by evaluating the coverage of near-opening flowers and staining pollen grains on the stigma under natural conditions. This study identified Diptera from the Ceratopogonidae family, specifically the genera Forcipomyia and Dasyhelea, as key pollinators. The findings highlight the presence of these pollinators in the Yopal cocoa agroforestry system and suggest the need for further pollinator capture and identification efforts on local farms. A positive correlation was found between the number of pollinating insects and the percentage of fertilized flowers, emphasizing the crucial role of these insects in cocoa pollination and the importance of promoting their presence to optimize fruit production. Full article

Although cocoa production addresses the livelihoods of several rural households, there is a global concern about its negative impact on the physical environment. How does this trade-off play out in different farming systems? This paper examined the social and environmental trade-offs and synergies of organic and conventional cocoa farming systems. Using the ‘SMART Farm-tool’ and principal component analysis approach, data collected from 398 cocoa farmers in five communities in the Atwima Mponua District of Ghana were analysed. We found that social and environmental trade-offs in the organic cocoa farming system are labour-related (EV = −0.38). The social and environmental trade-offs in the conventional cocoa farming system are health and safety and biodiversity-related (EV = −0.64). The organic farming system recognises indigenous knowledge in promoting biodiversity conservation and land degradation reduction (EV = −0.57). There can be more synergy than trade-off in both systems if support for capacity building and credit is provided and indigenous knowledge sharing is prioritised among low-income and vulnerable farmers. In this way, the labour conditions, biodiversity conservation, and health and safety-related concerns will be addressed. Addressing labour concerns in organic cocoa farming involves improving efficiency and working conditions. Strategies include training programs for organic techniques, introducing technology for tasks, and adhering to fair labour standards. This ensures labour concerns are addressed across the supply chain. Full article

This study addresses the critical challenge of the limited understanding of environmental factors influencing cocoa cultivation in Colombia, a region with significant production potential but diverse agroecological conditions. The fragmented nature of the existing agricultural data and the lack of targeted research hinder efforts to optimize productivity and sustainability. To bridge this gap, this research employs a data-driven approach, using advanced machine learning techniques such as supervised, unsupervised, and ensemble models, to analyze environmental datasets and provide actionable recommendations. By integrating data from official Colombian sources, as well as the NASA POWER database, and geographical APIs, the present study proposes a methodology to systematically assess environmental conditions and classify regions for optimal cocoa cultivation. The use of an assembled model, combining clustering with targeted machine learning for each cluster, offers a more precise and scalable understanding of cocoa establishment under diverse conditions. Despite challenges such as limited dataset resolution and localized climate variability, this research provides valuable insights for a more comprehensive understanding of the environmental conditions impacting cocoa plantation establishment in a given location. The key findings reveal that temperature, humidity, and wind speed are crucial determinants of cocoa growth, with complex interactions affecting regional suitability. The results offer valuable guidance for the implementation of adaptive agricultural practices and resilience strategies, enabling sustainable cocoa production systems. By implementing better practices, countries such as Colombia can achieve higher market shares under growing global cocoa demand conditions. Full article

Agroforestry is promoted as a practice at the crossroads of sustainability and productivity objectives; however, many agroforestry programmes have had mixed effects due to a lack of understanding of the compatibility of the species supplied to farmers with cocoa and a failure to take account of their knowledge in designing the programmes. This paper, therefore, examines the effects of socio-economic and agroforestry factors on cocoa yields in Côte d’Ivoire, West Africa. The data used come from surveys of 150 farmers in three areas of the country: Bonon, Soubré and Biankouma. The choice of these areas was based on an east–west gradient, reflecting the evolution of the cocoa loop. The Bayesian Information Criterion method and multiple linear regression were applied to identify the species and their relationship with yield. The results showed that certain species, such as Citrus sp., Cordia senegalensis, Isoberlinia doka, Morinda lucida, Morus mesozygia and Raphia hookeri increased in yield; on the other hand, Anthonotha manii was found to reduce in yield. Finally, labour and insecticides contributed to yield increases. The statistical analysis can be supplemented with agronomic and ecological analyses to improve species management on cocoa farms. Full article

This study investigated the perception of drought by cocoa farmers and explored the effectiveness of adaptive strategies (ASs) used in smallholding farms in the transboundary region between Ghana and Togo. Drought significantly threatens cocoa production in this region, affecting farmers’ livelihoods and cocoa supply chains. This study used a multistage sampling approach, which involved surveys with questionnaires administered to 330 cocoa farmers throughout the study area, along with on-site observations. Statistical analysis included binary logistic and Poisson regression models to explore the relationship between farmer socioeconomic characteristics and adaptation practices. The findings revealed that cocoa farmers in the region have a nuanced understanding of drought, attributed to changing climatic patterns and unsustainable land management practices such as deforestation. To mitigate its impacts, farmers employ a variety of ASs, including investment in farm management, soil management, and intercropping with crop diversification. Furthermore, socioeconomic factors, including age, formal education, household size, land tenure right, adaptation cost assessment, and an underestimation of self-efficacy, were shown to affect the choice in the AS. Among the ASs adopted, only farm management practices (weeding, pruning, fertilizer application, etc.) significantly improved the cocoa yield. This study contributes to understanding drought as a critical issue for cocoa farmers and the adaptation practices used by smallholder cocoa farmers. Given that among the strategies adopted, only farm management practices, also known as good agricultural practices (GAPs), significantly improves yield, this study recommends well-designed and innovative packages of sustainable farm management based on farm and owner characteristics. These include irrigation schemes, timely soil fertilizer monitoring and supply, and the provision of drought-resistant varieties along with technical itineraries. Additional interventions require drought emergency responses, with other factors such as education and financial support mechanisms expected to improve farmers’ timely decision-making to adapt and improve cocoa production resilience to drought episodes in international transboundary regions with complex governance structures. Full article

The application of the resilience concept within socioecological systems has recently received much attention. Assessing the characteristics of cocoa agroecosystems in the dry and moist semi-deciduous ecological zones has become critical for resilience analysis in this era of climate change and the constant shrinking of cocoa suitability areas. Previous studies have used one of the dimensions of resilience to analyse complex adaptive systems, excluding critical factors and variables. This study applied a multi-criteria decision-making process, the Analytic Hierarchy Process (AHP) that accommodates the three dimensions of resilience, i.e., buffer capacity, adaptive capacity and self-organisation. The AHP is a multi-criteria decision-making tool that proceeds with the design of a hierarchy system for the goal, criteria, attributes and variables. Selected cocoa farmers were assigned weights related to criteria, attributes and variables in a comparison matrix. The resilience of the cocoa agroecosystems in Offinso Municipal and Adansi North Districts was 2.75 ± 0.06 (mean ± SD) and 3.23 ± 0.10 (mean ± SD), respectively. Buffer capacity contributed the highest proportion (44.3%) in the Offinso Municipal District, followed by adaptive capacity (38.7%) and self-organisation (17%). A similar trend was recorded for the Adansi North District: buffer capacity (42.9%), adaptive capacity (42.9%) and self-organisation (14.3%). Across the two study areas, shade trees, crop diversification, soil quality, cocoa variety, farm size, farm age, alternative livelihood, annual income and co-operative membership contributed prominently to the construction of cocoa agroecosystem resilience. The assessment of agroecosystem resilience is location-specific, and the study provides a simplified methodology for evaluating resilience. The paper aims to understand the importance of the components of the cocoa agroecosystem, and a simplified methodology for evaluating its resilience to perturbations. It presents a conceptual and methodological framework for the analysis and measurement of agroecosystem resilience in a participatory manner. Full article